Evolving Long Short-Term Memory Network-Based Text Classification

Recently, long short-term memory (LSTM) networks are extensively utilized for text classification. Compared to feed-forward neural networks, it has feedback connections, and thus, it has the ability to learn long-term dependencies. However, the LSTM networks suffer from the parameter tuning problem....

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Detalles Bibliográficos
Autores principales: Singh, Arjun, Dargar, Shashi Kant, Gupta, Amit, Kumar, Ashish, Srivastava, Atul Kumar, Srivastava, Mitali, Kumar Tiwari, Pradeep, Ullah, Mohammad Aman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885205/
https://www.ncbi.nlm.nih.gov/pubmed/35237308
http://dx.doi.org/10.1155/2022/4725639

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885205/
https://www.ncbi.nlm.nih.gov/pubmed/35237308
http://dx.doi.org/10.1155/2022/4725639

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